Semi-Supervised Recognition under a Noisy and Fine-grained Dataset

Understand

Simi-Supervised Recognition Challenge-FGVC7 is a challenging fine-grained recognition competition.

• One of the difficulties of this competition is how to use unlabeled data.
• We adopted pseudo-tag data mining to increase the amount of training data.
• The other one is how to identify similar birds with a very small difference, especially those have a relatively tiny main-body in examples.